Open Access
Issue
A&A
Volume 676, August 2023
Article Number A117
Number of page(s) 11
Section Numerical methods and codes
DOI https://doi.org/10.1051/0004-6361/202346086
Published online 22 August 2023
  1. Appourchaux, T., Chaplin, W. J., García, R. A., et al. 2012, A&A, 543, A54 [CrossRef] [EDP Sciences] [Google Scholar]
  2. Baglin, A., Miglio, A., Michel, E., & Auvergne, M. 2009, in AIP Conf. Ser., 1170, eds. J.A. Guzik, & P.A. Bradley, 310–314 [NASA ADS] [CrossRef] [Google Scholar]
  3. Benomar, O., Goupil, M., Belkacem, K., et al. 2018, ApJ, 857, 119 [NASA ADS] [CrossRef] [Google Scholar]
  4. Borucki, W. J., Koch, D., Basri, G., et al. 2010, Science, 327, 977 [Google Scholar]
  5. Buchner, J., Georgakakis, A., Nandra, K., et al. 2014, A&A, 564, A125 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  6. Campante, T. L., Corsaro, E., Lund, M. N., et al. 2019, ApJ, 885, 31 [Google Scholar]
  7. Cangelosi, R., & Goriely, A. 2007, Biol. Direct, 2, 2 [CrossRef] [Google Scholar]
  8. Chaplin, W. J. & Miglio, A. 2013, ARA&A, 51, 353 [NASA ADS] [CrossRef] [Google Scholar]
  9. Chaplin, W. J., Kjeldsen, H., Bedding, T. R., et al. 2011, ApJ, 732, 54 [CrossRef] [Google Scholar]
  10. Chaplin, W. J., Basu, S., Huber, D., et al. 2014, ApJS, 210, 1 [Google Scholar]
  11. Chontos, A., Huber, D., Berger, T. A., et al. 2021, Apj, 922, 229 [CrossRef] [Google Scholar]
  12. Corsaro, E., McKeever, J. M., & Kuszlewicz, J. S. 2020, A&A, 640, A130 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  13. Cunha, M.S., Roxburgh, I. W., Aguirre Børsen-Koch, V., et al. 2021, MNRAS, 508, 5864 [NASA ADS] [CrossRef] [Google Scholar]
  14. Davies, G. R., Silva Aguirre, V., Bedding, T. R., et al. 2016, MNRAS, 456, 2183 [Google Scholar]
  15. Duvall, T.L.Jr., & Harvey, J.W. 1986, in NATO Advanced Science Institutes (ASI) Series C, 169, NATO Advanced Science Institutes (ASI) Series C, ed. D.O. Gough (D. Reidel Publishing Company), 105 [Google Scholar]
  16. Evans, D. W., Riello, M., De Angeli, F., et al. 2018, A&A, 616, A4 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  17. Goodfellow, I., Bengio, Y., & Courville, A. 2016, Deep Learning (MIT Press), http://www.deeplearningbook.org [Google Scholar]
  18. Guttman, L. 1954, Psychometrika, 19, 149 [Google Scholar]
  19. Guyon, I., & Elisseeff, A. 2003, J. Mach. Learn. Res., 3, 1157 [Google Scholar]
  20. Hall, O. J., Davies, G. R., van Saders, J., et al. 2021, Nat. Astron., 5, 707 [NASA ADS] [CrossRef] [Google Scholar]
  21. Handberg, R., & Campante, T. L. 2011, A&A, 527, A56 [CrossRef] [EDP Sciences] [Google Scholar]
  22. Harris, C. R., Millman, K. J., van der Walt, S.J., et al. 2020, Nature, 585, 357 [NASA ADS] [CrossRef] [Google Scholar]
  23. Harvey, J. 1985, in ESA SP, 235, eds. E. Rolfe, & B. Battrick, 199 [Google Scholar]
  24. Hatt, E., Nielsen, M. B., Chaplin, W. J., et al. 2023, A&A, 669, A67 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  25. Hon, M., Stello, D., García, R. A., et al. 2019, MNRAS, 485, 5616 [NASA ADS] [Google Scholar]
  26. Huber, D., Bedding, T. R., Stello, D., et al. 2011, ApJ, 743, 143 [Google Scholar]
  27. Jolliffe, I. T. 1972, J. Roy. Stat. Soc. Ser. C (Appl. Stat.), 21, 160 [Google Scholar]
  28. Kaiser, H. F. 1960, Educ. Psychol. Meas., 20, 141 [Google Scholar]
  29. Kallinger, T., De Ridder, J., Hekker, S., et al. 2014, A&A, 570, A41 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  30. Kingma, D. P., & Welling, M. 2013, ArXiv e-prints [arXiv:1312.6114] [Google Scholar]
  31. Kjeldsen, H., & Bedding, T. R. 1995, A&A, 293, 87 [NASA ADS] [Google Scholar]
  32. Kjeldsen, H., & Bedding, T. R. 2011, A&A, 529, A8 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  33. Lebreton, Y., & Goupil, M. J. 2014, A&A, 569, A21 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  34. Lee, D. D., & Seung, H. S. 1999, Nature, 401, 788 [Google Scholar]
  35. Li, T., Li, Y., Bi, S., et al. 2022, ApJ, 927, 167 [NASA ADS] [CrossRef] [Google Scholar]
  36. Lund, M. N., Silva Aguirre, V., Davies, G. R., et al. 2017, ApJ, 835, 172 [Google Scholar]
  37. Mosser, B., Vrard, M., Belkacem, K., Deheuvels, S., & Goupil, M. J. 2015, A&A, 584, A50 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  38. Nielsen, M. B., Davies, G. R., Ball, W. H., et al. 2021, AJ, 161, 62 [NASA ADS] [CrossRef] [Google Scholar]
  39. Ong, J. M. J., & Basu, S. 2020, ApJ, 898, 127 [NASA ADS] [CrossRef] [Google Scholar]
  40. Paxton, B., Bildsten, L., Dotter, A., et al. 2011, ApJS, 192, 3 [Google Scholar]
  41. Paxton, B., Cantiello, M., Arras, P., et al. 2013, ApJS, 208, 4 [Google Scholar]
  42. Paxton, B., Marchant, P., Schwab, J., et al. 2015, ApJS, 220, 15 [Google Scholar]
  43. Paxton, B., Schwab, J., Bauer, E. B., et al. 2018, ApJS, 234, 34 [NASA ADS] [CrossRef] [Google Scholar]
  44. Paxton, B., Smolec, R., Schwab, J., et al. 2019, ApJS, 243, 10 [Google Scholar]
  45. Ricker, G. R., Winn, J. N., Vanderspek, R., et al. 2015, J. Astron. Telescopes Instrum. Syst., 1, 014003 [Google Scholar]
  46. Roy, O., & Vetterli, M. 2007, in 2007 15th European Signal Processing Conference, 606 [Google Scholar]
  47. Shannon, C. E. 1948, Bell Syst. Tech. J., 27, 379 [Google Scholar]
  48. Silva Aguirre, V., Lund, M. N., Antia, H. M., et al. 2017, ApJ, 835, 173 [Google Scholar]
  49. Skilling, J. 2004, in AIP Conf. Ser., 735, Bayesian Inference and Maximum Entropy Methods in Science and Engineering: 24th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, eds. R. Fischer, R. Preuss, & U.V. Toussaint, 395 [NASA ADS] [CrossRef] [Google Scholar]
  50. Speagle, J. S. 2020, MNRAS, 493, 3132 [Google Scholar]
  51. Tamuz, O., Mazeh, T., & Zucker, S. 2005, MNRAS, 356, 1466 [Google Scholar]
  52. Townsend, R. H. D., & Teitler, S. A. 2013, MNRAS, 435, 3406 [Google Scholar]
  53. Viani, L. S., Basu, S., Chaplin, W. J., Davies, G. R., & Elsworth, Y. 2017, ApJ, 843, 11 [NASA ADS] [CrossRef] [Google Scholar]
  54. White, T. R., Bedding, T. R., Gruberbauer, M., et al. 2012, ApJ, 751, L36 [NASA ADS] [CrossRef] [Google Scholar]
  55. Woodard, M. F. 1984, PhD thesis, University of California, San Diego, USA [Google Scholar]
  56. Yu, J., Huber, D., Bedding, T. R., et al. 2018, ApJS, 236, 42 [NASA ADS] [CrossRef] [Google Scholar]

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